Advances in Kernel Methods: Support Vector Learning

Advances in Kernel Methods: Support Vector Learning

Rosanna Soentpiet , Bernhard Scholkopf , Alexander J. Smola
Inga betyg ännu
2014 · Engelska · Pocketbok · 2 editions
Lägg till på hyllan

Betygsätt denna bok


Exportera bokjournal

Beskrivning

The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a workshop on Support Vector Machines held at the 1997 NIPS conference. The contributors, both university researchers and engineers developing applications for the corporate world, form a Who's Who of this exciting new area.

Bokdetaljer

Format Pocketbok
Språk Engelska
Publicerad May 14, 2014
Förlag MIT Press (MA)
Upplagor 2 editions
ISBN-10 0585128294
ISBN-13 9780585128290
Lägg till på hyllan

Betygsätt denna bok


Exportera bokjournal